Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization.
Emilio JorgeMorteza Haghir ChehreghaniDevdatt P. DubhashiPublished in: CoRR (2019)
Keyphrases
- spectral analysis
- kernel machines
- heart rate variability
- neural network
- spectral methods
- graph laplacian
- autoregressive
- kernel function
- filter bank
- kernel methods
- support vector
- hilbert space
- manifold learning
- spectral features
- euclidean space
- dimensionality reduction
- higher order
- probabilistic model
- feature space
- feature selection